Rice consumption and urinary concentrations of arsenic in US adults

Wei, Yudan; Zhu, Jianmin; Nguyen, An

doi:10.1080/09603123.2013.857393

Cited by 37 publications

(31 citation statements)

References 39 publications

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“…However, Jain (2014) did find male nonsmokers to have higher unadjusted means than female nonsmokers for UAB, UAS, as well as UDMA. In order to interpret results from this study and the studies by Jain (2014) and Wei et al (2014), the differences in study design must be considered. Jain's (2014) study was done on nonsmokers only using data from NHANES for 2003-2010 while, the aim of the study by Wei et al (2014) was primarily to assess association between rice consumption and arsenic.…”

Section: Impact Of Gender and Race/ethnicitymentioning

confidence: 96%

“…In order to interpret results from this study and the studies by Jain (2014) and Wei et al (2014), the differences in study design must be considered. Jain's (2014) study was done on nonsmokers only using data from NHANES for 2003-2010 while, the aim of the study by Wei et al (2014) was primarily to assess association between rice consumption and arsenic. Both in this study and in the study by Jain (2014), NHW were found to have the lowest AGM for UAB, UAS, and UDMA and unclassified race/ethnicities had the highest AGM.…”

Section: Impact Of Gender and Race/ethnicitymentioning

confidence: 96%

“…While this was not the focus of this study, adjusted levels of arsenic variable UAB, UAS, and UDMA were also computed by gender, race/ethnicity, and SES which to the best of our knowledge has been done in only a few studies (Bae et al, 2013;Wei et al, 2014). Bae et al (2013) found Korean men aged 20 years and over to have higher urinary arsenic levels than females.…”

Section: Impact Of Gender and Race/ethnicitymentioning

confidence: 99%

“…Using data from 2003 to 2006 NHANES,Wei et al (2014) reported females to have higher geometric means than males for both UAS and UDMA. Also, Jain…”

mentioning

confidence: 94%

See 3 more Smart Citations

Association of arsenic exposure with smoking, alcohol, and caffeine consumption: Data from NHANES 2005–2010

Jain

2015

Environmental Toxicology and Pharmacology

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Section: Impact Of Gender and Race/ethnicitymentioning

confidence: 96%

Section: Impact Of Gender and Race/ethnicitymentioning

confidence: 96%

Section: Impact Of Gender and Race/ethnicitymentioning

confidence: 99%

“…Using data from 2003 to 2006 NHANES,Wei et al (2014) reported females to have higher geometric means than males for both UAS and UDMA. Also, Jain…”

mentioning

confidence: 94%

See 2 more Smart Citations

Association of arsenic exposure with smoking, alcohol, and caffeine consumption: Data from NHANES 2005–2010

Jain

2015

Environmental Toxicology and Pharmacology

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“…In populations with high seafood intakes, assessment of iAs using biomarkers is difficult because some nontoxic seafood arsenicals contribute to DMA and total arsenic concentrations in urine. Previous epidemiologic studies have relied on methods such as excluding participants who reported recent seafood intake or adjusting for seafood intake (using self-reported seafood intake or urine arsenobetaine) in regression models (54,55). In populations with high seafood intakes, excluding participants who report recent seafood consumption is problematic.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Inorganic Arsenic Exposure in Populations With Frequent Seafood Intake: Evidence From MESA and NHANES

Jones

Téllez-Plaza

Vaidya³

et al. 2016

Am. J. Epidemiol.

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The sum of urinary inorganic arsenic (iAs) and methylated arsenic (monomethylarsonate and dimethylarsinate (DMA)) species is the main biomarker of iAs exposure. Assessing iAs exposure, however, is difficult in populations with moderate-to-high seafood intakes. In the present study, we used subsamples from the MultiEthnic Study of Atherosclerosis (2000Atherosclerosis ( -2002 (n = 310) and the 2003-2006 National Health and Nutrition Examination Survey (n = 1,175). We calibrated urinary concentrations of non-seafood-derived iAs, DMA, and methylarsonate, as well as the sum of inorganic and methylated arsenic species, in the Multi-Ethnic Study of Atherosclerosis and of DMA in the National Health and Nutrition Examination Survey by regressing their original concentrations by arsenobetaine and extracting model residuals. To confirm that calibrated biomarkers reflected iAs exposure but not seafood intake, we compared urinary arsenic concentrations by levels of seafood and rice intakes. Self-reported seafood intakes, estimated n-3 polyunsaturated fatty acid levels, and measured n-3 polyunsaturated fatty acid levels were positively associated with the original urinary arsenic biomarkers. Using the calibrated arsenic biomarkers, we found a marked attenuation of the associations with self-reported seafood intake and estimated or measured n-3 fatty acids, whereas associations with self-reported rice intake remained similar. Our residual-based method provides estimates of iAs exposure and metabolism for each participant that no longer reflect seafood intake and can facilitate research about low-to-moderate levels of iAs exposure in populations with high seafood intakes.

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Association of Rice and Rice-Product Consumption With Arsenic Exposure Early in Life

et al. 2016

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IMPORTANCE Rice-a typical first food and major ingredient in various infant foods-contains inorganic arsenic (As), but the extent of As exposure from these foods has not been well characterized in early childhood.OBJECTIVE To determine the types and frequency of rice and rice-containing products consumed by infants in the first year of life and the association with As biomarker concentrations.DESIGN, SETTING, AND PARTICIPANTS Included were infants from singleton births of pregnant women enrolled in the New Hampshire Birth Cohort Study from 2011 to 2014 whose parents were interviewed during their first year of life. Enrolled women from selected clinics were aged 18 to 45 years, living in the same residence since their last menstrual period, in households served by a private water system, and had no plans to move during pregnancy. Data on infants' intake of rice and rice products were collected from interviews with their parents at 4, 8, and 12 months' follow-up and from a 3-day food diary at 12 months from March 2013 to August 2014.EXPOSURES Infants' intake of rice and rice products. MAIN OUTCOMES AND MEASURESTotal urinary As and the sum of As species measured using inductively coupled mass spectrometry and high-performance liquid chromatography with inductively coupled mass spectrometry. Commonly reported infant rice snacks were tested for As. RESULTSWe obtained dietary data on 759 of 951 infants (79.8% participation rate). Of these, 391 infants (51.7%) were male, and the mean (SD) gestational age was 39.4 (1.7) weeks. An estimated 80% were introduced to rice cereal during their first year. At 12 months, 32.6% of infants (42 of 129) were fed rice snacks. Among infants aged 12 months who did not eat fish or seafood, the geometric mean total urinary As concentrations were higher among those who ate infant rice cereal (9.53 μg/L) or rice snacks (4.97 μg/L) compared with those who did not eat rice or rice products (2.85 μg/L; all P < .01). Infant rice snacks contained between 36 and 568 ng/g of As and 5 to 201 ng/g of inorganic As. CONCLUSIONS AND RELEVANCEOur findings indicate that intake of rice cereal and other rice-containing foods, such as rice snacks, contribute to infants' As exposure and suggest that efforts should be made to reduce As exposure during this critical phase of development.

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Rice consumption and urinary concentrations of arsenic in US adults

Cited by 37 publications

References 39 publications

Association of arsenic exposure with smoking, alcohol, and caffeine consumption: Data from NHANES 2005–2010

Association of arsenic exposure with smoking, alcohol, and caffeine consumption: Data from NHANES 2005–2010

Estimation of Inorganic Arsenic Exposure in Populations With Frequent Seafood Intake: Evidence From MESA and NHANES

Association of Rice and Rice-Product Consumption With Arsenic Exposure Early in Life

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